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AI-Driven Signal Processing & Spectral Feature Extraction

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SBIR / STTR

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This subcontract, titled AI-Driven Signal Processing and Spectral Feature Extraction, focuses on the design and implementation of a super intelligence-driven signal processing framework for US Navy naval edge computing projects. The scope of work involves developing advanced technical capabilities, including high-dimensional spectral feature extraction algorithms, adaptive neural control loops, Bayesian neural networks, and time-frequency deep learning architectures specifically for intra-pulse modulation recognition. The final deliverables consist of trained AI models and modular algorithmic software pathways. The opportunity is a total small business set-aside under NAICS code 541715, specifically targeting firms with fewer than 500 employees. Due to the nature of the work for the Department of Defense, contractors must possess a Secret Personnel Clearance and meet CMMC Level 2 self-assessment requirements. The solicitation was posted on November 4, 2026, with a response deadline of December 2, 2026.

General Info

US Navy subcontract for AI signal processing; requires Secret clearance and CMMC Level 2.

Documents

This scope was carved out of DON27BZ02-DV026.

The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.

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DIRECT TO PHASE II: Frequency-Based Persistent Artificial Intelligence Tracking and Surveillance Capability

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Organization & Contact Information

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AgencyDepartment of Defense → United States Navy
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Performs the design and implementation of a super intelligence (SI)-driven signal processing framework for prime contractors on US Navy naval edge computing projects. Develops high-dimensional spectral feature extraction algorithms, adaptive neural control loops, time-frequency deep learning architectures for intra-pulse modulation recognition, and Bayesian neural networks. Requires Secret Personnel Clearance and CMMC Level 2 (Self). Delivers modular algorithmic software pathways and trained AI models.

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